We depend on¿we believe in¿algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It´s as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations¿the marriage vow, the shaman´s curse¿do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm¿in practical terms, ´´a method for solving a problem¿¿has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson´s Snow Crash to Diderot´s Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost´s satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google´s goal of anticipating our questions, Uber´s cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things.

A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world´s top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today´s philosophy, this book is its bible.

A FINANCIAL TIMES BOOK OF THE MONTH FROM THE WALL STREET JOURNAL: ´´ Nothing Mr. Gilder says or writes is ever delivered at anything less than the fullest philosophical decibel.. . Mr. Gilder sounds less like a tech guru than a poet, and his words tumble out in a romantic cascade.´´ ´´Google´s algorithms assume the world´s future is nothing more than the next moment in a random process. George Gilder shows how deep this assumption goes, what motivates people to make it, and why it´s wrong: the future depends on human action.´´ - Peter Thiel, founder of PayPal and Palantir Technologies and author of Zero to One: Notes on Startups, or How to Build the Future The Age of Google, built on big data and machine intelligence, has been an awesome era. But it´s coming to an end. In Life after Google, George Gilder-the peerless visionary of technology and culture-explains why Silicon Valley is suffering a nervous breakdown and what to expect as the post-Google age dawns. Google´s astonishing ability to ´´search and sort´´ attracts the entire world to its search engine and countless other goodies-videos, maps, email, calendars....And everything it offers is free, or so it seems. Instead of paying directly, users submit to advertising. The system of ´´aggregate and advertise´´ works-for a while-if you control an empire of data centers, but a market without prices strangles entrepreneurship and turns the Internet into a wasteland of ads. The crisis is not just economic. Even as advances in artificial intelligence induce delusions of omnipotence and transcendence, Silicon Valley has pretty much given up on security. The Internet firewalls supposedly protecting all those passwords and personal information have proved hopelessly permeable. The crisis cannot be solved within the current computer and network architecture. The future lies with the ´´cryptocosm´´-the new architecture of the blockchain and its derivatives. Enabling cryptocurrencies such as bitcoin and ether, NEO and Hashgraph, it will provide the Internet a secure global payments system, ending the aggregate-and-advertise Age of Google. Silicon Valley, long dominated by a few giants, faces a ´´great unbundling,´´ which will disperse computer power and commerce and transform the economy and the Internet. Life after Google is almost here. For fans of ´´Wealth and Poverty,´´ ´´Knowledge and Power,´´ and ´´The Scandal of Money.´´

Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you´ll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python´s scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web. You´ll explore recommendation engines and dive into classification via statistical algorithms, neural networks, and deep learning. Valuable insights are buried in the tracks web users leave as they navigate pages and applications. You can uncover them by using intelligent algorithms like the ones that have earned Facebook, Google, and Twitter a place among the giants of web data pattern extraction. This audiobook includes:An introduction to machine learningExtracting structure from dataDeep learning and neural networksHow recommendation engines work Knowledge of Python is assumed for the listener. Douglas McIlwraith is a machine learning expert and data science practitioner in the field of Online advertising. Dr. Haralambos Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions. Dmitry Babenko designs applications for banking, insurance, and supply-chain management. Table of Contents:1. Building applications for the intelligent web 2. Extracting structure from data: clustering and transforming your data 3. Recommending relevant content 4. Classification: placing things where they belong 5. Case study: click prediction for Online advertising 6. Deep learning and neural networks 7. Making the right choice 8. The future of the intell 1. Language: English. Narrator: Mark Thomas. Audio sample: http://samples.audible.de/bk/acx0/130626/bk_acx0_130626_sample.mp3. Digital audiobook in aax.

We depend on - we believe in - algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It´s as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations - the marriage vow, the shaman´s curse - do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In What Algorithms Want, Ed Finn considers how the algorithm - in practical terms, ´´a method for solving a problem´´ - has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson´s Snow Crash to Diderot´s Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost´s satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google´s goal of anticipating our questions, Uber´s cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things. If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of ´´algorithmic reading´´ and scholarship that attends to process, spearheading a new experimental humanities. 1. Language: English. Narrator: Scott Merriman. Audio sample: http://samples.audible.de/bk/brll/008781/bk_brll_008781_sample.mp3. Digital audiobook in aax.

There are over 150 million blogs out there in the world today, and in order to compete at any level, you must understand the inner workings of search engine optimization. Ranking your blog posts on Google is difficult, and it has become increasingly more so in the wake of Google´s many new algorithm changes. With the introduction of updates like the Google Panda, Google Penguin, User Experience Algorithm, and Exact Match Domains, the entire ranking landscape has changed. What used to work just a couple of years ago for ranking in SEO, no longer works today; the rules are different. Don´t get caught left behind in the blogosphere. Whether you´re new to blogging or you´ve had some experience with it, you have to understand just what it takes to craft your blog posts for the most optimized positioning on Google. PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your My Library section along with the audio. 1. Language: English. Narrator: Smokey Rivers. Audio sample: http://samples.audible.de/bk/acx0/013159/bk_acx0_013159_sample.mp3. Digital audiobook in aax.